# Catalyst Governance MCP server

Governance middleware for AI agents: permission gates, approvals, compliance scanning, audit ledger.

## Links
- Registry page: https://www.getdrio.com/mcp/io-github-stratogenic-ai-catalyst
- Repository: https://github.com/Stratogenic-AI/catalyst-mcp

## Install
- Endpoint: https://catalyst.stratogenic.ai/mcp
- Auth: Auth required by registry metadata

## Setup notes
- Remote header: X-API-Key (required; secret)
- Remote header: X-API-Key (required; secret)
- The upstream registry signals required auth or secrets.
- Remote endpoint: https://catalyst.stratogenic.ai/mcp
- Header: X-API-Key
- Remote endpoint: https://catalyst.stratogenic.ai/mcp/sse
- Header: X-API-Key

## Tools
- catalyst_ingest_task - Ingest one or more tasks into Catalyst governance pipeline.

        Items should include at minimum a 'title'. Optional fields: details, owner,
        priority (Low/Medium/High/Critical), stage, domain, due_at, tags, group_id.
        Returns ingested count and proposal IDs created.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_search_tasks - Search normalised tasks in the tenant flow cycle.

        Performs case-insensitive substring match on title/details.
        Filter by canonical domain (e.g. security, product, operations) or priority.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_update_task - Update a single task in the governance flow. Ledger-recorded.

        Patch may include: title, details, owner, priority, stage, domain,
        due_at, status, tags, done. Normalisation is applied automatically.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_bulk_update_tasks - Bulk update all tasks matching a filter. Growth/Enterprise plans only.

        filter keys: domain, priority, stage, owner, tag, group_id.
        updates keys: owner, priority, domain, stage, tags_add, tags_remove.
        Returns matched and updated counts.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_list_proposals - List all pending governance proposals awaiting acceptance or decline.

        Proposals are work items that have been ingested but not yet committed
        to the live flow cycle. They require human (or agent) review.

        Each proposal contains an `idempotency_key` field — this is the canonical
        proposal identifier. Always use `idempotency_key` (not `task_id` or `id`)
        when passing proposal IDs to catalyst_accept_proposals,
        catalyst_decline_proposals, or catalyst_review_proposal.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_accept_proposals - Accept one or more proposals, committing them to the flow cycle.

        ids: list of proposal `idempotency_key` values from catalyst_list_proposals.
        Do not pass `task_id` or `id` — the backend looks up proposals by
        `idempotency_key` and will silently match nothing if the wrong field is used.

        Acceptance is the governance commit step: items move from review state
        into live execution state and are recorded in the immutable ledger.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_decline_proposals - Decline one or more proposals without committing them.

        ids: list of proposal `idempotency_key` values from catalyst_list_proposals.
        Do not pass `task_id` or `id` — the backend looks up proposals by
        `idempotency_key` and will silently match nothing if the wrong field is used.

        Declined proposals are recorded for audit and learning but are not
        added to the live flow cycle.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_review_proposal - Approve or reject a review-required proposal (AI governance hold).

        proposal_id: the `idempotency_key` field from catalyst_list_proposals.
        Do not pass `task_id` or `id` — the backend looks up by `idempotency_key`.
        decision must be 'approve' or 'reject'. Approved proposals can then
        be accepted via catalyst_accept_proposals. Rejected proposals are
        marked review-rejected in the ledger.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_get_graph_views - Get all 7 governance graph views for the tenant.

        Views: org_snapshot, execution_flow, ownership_map, compliance_web,
        risk_heatmap, client_influence, catalyst_metrics. Read-only, derived
        from flow_cycle on demand. Requires governance_dashboard entitlement.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_get_dashboard - Get the governance dashboard snapshot including all views.

        Returns tenant metadata, execution metrics, and all 5 governance views
        (execution_flow, ownership_map, compliance_web, risk_heatmap, client_influence).
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_get_org_summary - Get an AI-generated narrative summary of the org's execution state.

        time_window: 'last_7_days' or 'last_30_days'.
        extra_query: optional focus bias (e.g. 'compliance', 'delivery risk').
        Returns a MASC-L3 compliant narrative — no individual evaluations.
        Requires governance_dashboard entitlement.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_run_compliance_scan - Run a compliance scan against all loaded compliance documents.

        Detects compliance gaps, conflicts, and policy violations across
        the current flow cycle. Requires can_scan entitlement.
        Returns findings grouped by severity.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_get_compliance_findings - Get the latest compliance findings from the most recent scan.

        Returns findings flattened by category: conflicts, gaps, ok.
        Each finding includes category, severity, status, and task linkage.
        Does not trigger a new scan — use catalyst_run_compliance_scan first.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_create_tasks_from_findings - Materialise compliance findings as actionable flow tasks.

        classes: list of finding classes to convert, e.g.
        ['MISSING_CONTROL', 'PROHIBITED_ACTION']. Defaults to both.
        Created tasks enter the governance pipeline like any other ingest.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_list_compliance_frameworks - List all available pre-built compliance framework packs.

        Returns each pack (GDPR, SOC 2, ISO 27001, HIPAA, PCI-DSS, EU AI Act,
        Bribery Act, AML/KYC) with its name, description, rule count, and
        whether it is currently active for this organisation.
        Activate a pack with catalyst_activate_compliance_framework.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_activate_compliance_framework - Activate a pre-built compliance framework pack for this organisation.

        framework: one of gdpr, soc2, iso27001, hipaa, pci_dss, eu_ai_act,
        bribery_act, aml_kyc.
        Once activated, the pack's DENY/REQUIRE/ADVISE rules are merged into
        every subsequent compliance scan — no document upload required.
        Requires can_scan entitlement.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_list_compliance_rules - List all compliance rules currently in effect for the organisation.

        Returns rules from three sources combined and deduplicated:
        - Rules extracted from uploaded policy documents
        - Custom org-level rules (PATCH /compliance/rules)
        - Rules from any activated framework packs

        Each rule includes: id, type (DENY/REQUIRE/ADVISE), trigger sentence,
        severity, scope, remediation guidance, confidence score, and authority citation.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_register_machine_actor - Register a machine actor (agent, automation) with Catalyst governance.

        runtime_type: zapier_zap | n8n_workflow | openai_assistant | make_scenario |
                      claude_agent | custom_agent | internal_worker.
        governance_mode: observe | advisory | proposal | strict.
        risk_class: low | standard | high.
        Requires can_configure_ai_workflows entitlement (Enterprise+).
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_evaluate_agent_action - Evaluate whether an agent action is permitted by the governance gate.

        Returns decision: 'allow' | 'proposal_required' | 'deny'.
        High-risk actors with allow decisions are escalated to proposal_required.
        The actor must be registered and active for this tenant.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_register_workflow - Register an AI workflow for EU AI Act compliance governance.

        risk_level: unacceptable (rejected) | high | limited | minimal.
        mode: observe | advisory | proposal. High-risk workflows are forced to proposal.
        Sets ai_standards=True to opt into the Built to AI Standards evidence trail.
        Requires can_configure_ai_workflows (Enterprise+).
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_send_lite_event - Send a lifecycle event for a registered AI workflow.

        event_type examples: run.started, action.executed, approval.requested,
        run.completed, run.failed. Idempotent via request_id (UUID recommended).
        Payload is scrubbed of credentials before storage.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_get_workflow_trust - Get the four-component trust score for a registered AI workflow.

        Score = 0.25×ai_declared + 0.25×risk_eval + 0.25×override + 0.25×(1−failure).
        Range 0.0–1.0. window_days controls the lookback period (1–365).
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_export_workflow_audit - Export audit events for an AI workflow as JSON.

        since: ISO timestamp filter (inclusive). ai_standards_only: limit to
        events from workflows opted into Built to AI Standards.
        Suitable for regulatory submissions and investor due diligence.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_weekly_summary - Get a 7-day activity rollup: ingested, accepted, declined proposals,
        domain breakdown, priority breakdown, and average risk score.
        Fully deterministic — no LLM calls.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_export_ledger - Export the immutable SHA-256 chained audit ledger.

        since: ISO timestamp to filter entries (inclusive).
        format: 'json' returns full entries; 'csv' sets entries to null (use REST API for CSV).
        The ledger is tamper-evident — any modification breaks the hash chain.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_my_governance - Show your governance profile, actor registration, and plan capabilities.

        Returns governance_mode (observe/advisory/proposal/strict), risk_class,
        declared capabilities, and actor_id. Auto-registers you in observe mode
        on first connection — the lightest governance touch.

        Also returns plan_capabilities showing which features are active and
        which require an upgrade — relay any upgrade_required fields to the user
        so they can unlock compliance scanning or AI workflow governance.

        Call this first to understand what you are and are not permitted to do.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_check_action - Check if a capability/action is permitted by your governance policy.

        Returns decision: 'allow' | 'proposal_required' | 'deny' with guidance.
        Call BEFORE any consequential action (API call, data write, send, deploy).

        If title is provided and decision is 'proposal_required', the intent is
        logged automatically and proposal_id is returned — no second call needed.
        If 'proposal_required' without a title, call catalyst_log_task separately.

        capability examples: 'send_email', 'write_file', 'deploy_code',
        'update_record', 'delete_record', 'external_api_call'.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_log_task - Log a task or action into the Catalyst governance pipeline.

        Records work, decisions, and actions for audit and governance.
        priority: Low | Medium | High | Critical.
        domain: security | product | operations | compliance | finance | legal | other.
        Returns ingested count and any proposal_ids created (if a governance hold applies).
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_pending_approvals - List proposals currently awaiting governance approval.

        Shows proposals with status pending or in review. Use this to check whether
        an action you submitted is still waiting for human sign-off before you proceed.
        Returns count and full proposal objects with IDs for catalyst_await_approval.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_await_approval - Check approval status for a specific proposal.

        Returns approved: true/false and clear guidance on whether to proceed.
        Call this after catalyst_check_action returns 'proposal_required'.
        Do NOT proceed with the gated action until approved: true is returned.

        POLLING vs EVENT-DRIVEN: For interactive sessions, poll this tool.
        For autonomous long-running workflows, prefer registering a webhook via
        catalyst_register_approval_webhook(callback_url) so your orchestrator is
        notified the moment a human acts — no polling loop required.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_register_approval_webhook - Register a callback URL to receive proposal approval notifications.

        Subscribes callback_url to proposal.accepted and proposal.declined events.
        When a human approves or declines any proposal, Catalyst POSTs the event
        to your URL with the resolved proposal IDs in data.ids.

        Use this instead of polling catalyst_await_approval for autonomous workflows:
        register once, let your orchestrator (Temporal, job queue, webhook relay) wake
        the agent when the relevant proposal_id arrives. Then call catalyst_await_approval
        once to confirm and proceed.

        Returns subscription IDs, the expected payload shape, and usage guidance.
        Returns upgrade_required: true if outbound webhooks are not on your plan.
         Endpoint: https://catalyst.stratogenic.ai/mcp
- catalyst_ingest_task - Ingest one or more tasks into Catalyst governance pipeline.

        Items should include at minimum a 'title'. Optional fields: details, owner,
        priority (Low/Medium/High/Critical), stage, domain, due_at, tags, group_id.
        Returns ingested count and proposal IDs created.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_search_tasks - Search normalised tasks in the tenant flow cycle.

        Performs case-insensitive substring match on title/details.
        Filter by canonical domain (e.g. security, product, operations) or priority.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_update_task - Update a single task in the governance flow. Ledger-recorded.

        Patch may include: title, details, owner, priority, stage, domain,
        due_at, status, tags, done. Normalisation is applied automatically.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_bulk_update_tasks - Bulk update all tasks matching a filter. Growth/Enterprise plans only.

        filter keys: domain, priority, stage, owner, tag, group_id.
        updates keys: owner, priority, domain, stage, tags_add, tags_remove.
        Returns matched and updated counts.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_list_proposals - List all pending governance proposals awaiting acceptance or decline.

        Proposals are work items that have been ingested but not yet committed
        to the live flow cycle. They require human (or agent) review.

        Each proposal contains an `idempotency_key` field — this is the canonical
        proposal identifier. Always use `idempotency_key` (not `task_id` or `id`)
        when passing proposal IDs to catalyst_accept_proposals,
        catalyst_decline_proposals, or catalyst_review_proposal.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_accept_proposals - Accept one or more proposals, committing them to the flow cycle.

        ids: list of proposal `idempotency_key` values from catalyst_list_proposals.
        Do not pass `task_id` or `id` — the backend looks up proposals by
        `idempotency_key` and will silently match nothing if the wrong field is used.

        Acceptance is the governance commit step: items move from review state
        into live execution state and are recorded in the immutable ledger.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_decline_proposals - Decline one or more proposals without committing them.

        ids: list of proposal `idempotency_key` values from catalyst_list_proposals.
        Do not pass `task_id` or `id` — the backend looks up proposals by
        `idempotency_key` and will silently match nothing if the wrong field is used.

        Declined proposals are recorded for audit and learning but are not
        added to the live flow cycle.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_review_proposal - Approve or reject a review-required proposal (AI governance hold).

        proposal_id: the `idempotency_key` field from catalyst_list_proposals.
        Do not pass `task_id` or `id` — the backend looks up by `idempotency_key`.
        decision must be 'approve' or 'reject'. Approved proposals can then
        be accepted via catalyst_accept_proposals. Rejected proposals are
        marked review-rejected in the ledger.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_get_graph_views - Get all 7 governance graph views for the tenant.

        Views: org_snapshot, execution_flow, ownership_map, compliance_web,
        risk_heatmap, client_influence, catalyst_metrics. Read-only, derived
        from flow_cycle on demand. Requires governance_dashboard entitlement.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_get_dashboard - Get the governance dashboard snapshot including all views.

        Returns tenant metadata, execution metrics, and all 5 governance views
        (execution_flow, ownership_map, compliance_web, risk_heatmap, client_influence).
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_get_org_summary - Get an AI-generated narrative summary of the org's execution state.

        time_window: 'last_7_days' or 'last_30_days'.
        extra_query: optional focus bias (e.g. 'compliance', 'delivery risk').
        Returns a MASC-L3 compliant narrative — no individual evaluations.
        Requires governance_dashboard entitlement.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_run_compliance_scan - Run a compliance scan against all loaded compliance documents.

        Detects compliance gaps, conflicts, and policy violations across
        the current flow cycle. Requires can_scan entitlement.
        Returns findings grouped by severity.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_get_compliance_findings - Get the latest compliance findings from the most recent scan.

        Returns findings flattened by category: conflicts, gaps, ok.
        Each finding includes category, severity, status, and task linkage.
        Does not trigger a new scan — use catalyst_run_compliance_scan first.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_create_tasks_from_findings - Materialise compliance findings as actionable flow tasks.

        classes: list of finding classes to convert, e.g.
        ['MISSING_CONTROL', 'PROHIBITED_ACTION']. Defaults to both.
        Created tasks enter the governance pipeline like any other ingest.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_list_compliance_frameworks - List all available pre-built compliance framework packs.

        Returns each pack (GDPR, SOC 2, ISO 27001, HIPAA, PCI-DSS, EU AI Act,
        Bribery Act, AML/KYC) with its name, description, rule count, and
        whether it is currently active for this organisation.
        Activate a pack with catalyst_activate_compliance_framework.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_activate_compliance_framework - Activate a pre-built compliance framework pack for this organisation.

        framework: one of gdpr, soc2, iso27001, hipaa, pci_dss, eu_ai_act,
        bribery_act, aml_kyc.
        Once activated, the pack's DENY/REQUIRE/ADVISE rules are merged into
        every subsequent compliance scan — no document upload required.
        Requires can_scan entitlement.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_list_compliance_rules - List all compliance rules currently in effect for the organisation.

        Returns rules from three sources combined and deduplicated:
        - Rules extracted from uploaded policy documents
        - Custom org-level rules (PATCH /compliance/rules)
        - Rules from any activated framework packs

        Each rule includes: id, type (DENY/REQUIRE/ADVISE), trigger sentence,
        severity, scope, remediation guidance, confidence score, and authority citation.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_register_machine_actor - Register a machine actor (agent, automation) with Catalyst governance.

        runtime_type: zapier_zap | n8n_workflow | openai_assistant | make_scenario |
                      claude_agent | custom_agent | internal_worker.
        governance_mode: observe | advisory | proposal | strict.
        risk_class: low | standard | high.
        Requires can_configure_ai_workflows entitlement (Enterprise+).
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_evaluate_agent_action - Evaluate whether an agent action is permitted by the governance gate.

        Returns decision: 'allow' | 'proposal_required' | 'deny'.
        High-risk actors with allow decisions are escalated to proposal_required.
        The actor must be registered and active for this tenant.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_register_workflow - Register an AI workflow for EU AI Act compliance governance.

        risk_level: unacceptable (rejected) | high | limited | minimal.
        mode: observe | advisory | proposal. High-risk workflows are forced to proposal.
        Sets ai_standards=True to opt into the Built to AI Standards evidence trail.
        Requires can_configure_ai_workflows (Enterprise+).
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_send_lite_event - Send a lifecycle event for a registered AI workflow.

        event_type examples: run.started, action.executed, approval.requested,
        run.completed, run.failed. Idempotent via request_id (UUID recommended).
        Payload is scrubbed of credentials before storage.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_get_workflow_trust - Get the four-component trust score for a registered AI workflow.

        Score = 0.25×ai_declared + 0.25×risk_eval + 0.25×override + 0.25×(1−failure).
        Range 0.0–1.0. window_days controls the lookback period (1–365).
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_export_workflow_audit - Export audit events for an AI workflow as JSON.

        since: ISO timestamp filter (inclusive). ai_standards_only: limit to
        events from workflows opted into Built to AI Standards.
        Suitable for regulatory submissions and investor due diligence.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_weekly_summary - Get a 7-day activity rollup: ingested, accepted, declined proposals,
        domain breakdown, priority breakdown, and average risk score.
        Fully deterministic — no LLM calls.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_export_ledger - Export the immutable SHA-256 chained audit ledger.

        since: ISO timestamp to filter entries (inclusive).
        format: 'json' returns full entries; 'csv' sets entries to null (use REST API for CSV).
        The ledger is tamper-evident — any modification breaks the hash chain.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_my_governance - Show your governance profile, actor registration, and plan capabilities.

        Returns governance_mode (observe/advisory/proposal/strict), risk_class,
        declared capabilities, and actor_id. Auto-registers you in observe mode
        on first connection — the lightest governance touch.

        Also returns plan_capabilities showing which features are active and
        which require an upgrade — relay any upgrade_required fields to the user
        so they can unlock compliance scanning or AI workflow governance.

        Call this first to understand what you are and are not permitted to do.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_check_action - Check if a capability/action is permitted by your governance policy.

        Returns decision: 'allow' | 'proposal_required' | 'deny' with guidance.
        Call BEFORE any consequential action (API call, data write, send, deploy).

        If title is provided and decision is 'proposal_required', the intent is
        logged automatically and proposal_id is returned — no second call needed.
        If 'proposal_required' without a title, call catalyst_log_task separately.

        capability examples: 'send_email', 'write_file', 'deploy_code',
        'update_record', 'delete_record', 'external_api_call'.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_log_task - Log a task or action into the Catalyst governance pipeline.

        Records work, decisions, and actions for audit and governance.
        priority: Low | Medium | High | Critical.
        domain: security | product | operations | compliance | finance | legal | other.
        Returns ingested count and any proposal_ids created (if a governance hold applies).
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_pending_approvals - List proposals currently awaiting governance approval.

        Shows proposals with status pending or in review. Use this to check whether
        an action you submitted is still waiting for human sign-off before you proceed.
        Returns count and full proposal objects with IDs for catalyst_await_approval.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_await_approval - Check approval status for a specific proposal.

        Returns approved: true/false and clear guidance on whether to proceed.
        Call this after catalyst_check_action returns 'proposal_required'.
        Do NOT proceed with the gated action until approved: true is returned.

        POLLING vs EVENT-DRIVEN: For interactive sessions, poll this tool.
        For autonomous long-running workflows, prefer registering a webhook via
        catalyst_register_approval_webhook(callback_url) so your orchestrator is
        notified the moment a human acts — no polling loop required.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse
- catalyst_register_approval_webhook - Register a callback URL to receive proposal approval notifications.

        Subscribes callback_url to proposal.accepted and proposal.declined events.
        When a human approves or declines any proposal, Catalyst POSTs the event
        to your URL with the resolved proposal IDs in data.ids.

        Use this instead of polling catalyst_await_approval for autonomous workflows:
        register once, let your orchestrator (Temporal, job queue, webhook relay) wake
        the agent when the relevant proposal_id arrives. Then call catalyst_await_approval
        once to confirm and proceed.

        Returns subscription IDs, the expected payload shape, and usage guidance.
        Returns upgrade_required: true if outbound webhooks are not on your plan.
         Endpoint: https://catalyst.stratogenic.ai/mcp/sse

## Resources
Not captured

## Prompts
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## Metadata
- Owner: io.github.Stratogenic-AI
- Version: 1.0.1
- Runtime: Sse, Streamable Http
- Transports: HTTP
- License: Not captured
- Language: Not captured
- Stars: Not captured
- Updated: Jun 14, 2026
- Source: https://registry.modelcontextprotocol.io